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Paper Citation Record · LEDGER

NORM: Knowledge Distillation via N-to-One Representation Matching

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.13803.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2305.13803 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:17:56.777115Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-09T06:25:39.337366Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 75267578-9fc3-4a72-8b25-7862fbaf6f36 · inbound

Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression cites this paper.

Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression NORM: Knowledge Distillation via N-to-One Representation Matching

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:56.777115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:56.777115Z digest=sha256:40c765fe8d29cba710b65f0f97b5dbb4c0d32ffa299ccf8f8a7f893be833992f

Observation a86784b8-3b30-4b5e-afba-82f6772c297d · inbound

Deep Reprogramming Distillation for Medical Foundation Models cites this paper.

Deep Reprogramming Distillation for Medical Foundation Models NORM: Knowledge Distillation via N-to-One Representation Matching

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:25:39.366872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T18:30:36.882621Z digest=sha256:4181356e1d6f2f41687a73dffbbcf8c123aad1e8f80e10a6c264fad43ff054c1